An iterative artificial neural network for high dimensional data analysis

Authors:
Armando Vieira
Affiliations:
Physics Dept. ISEP, Porto, Portugal
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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Abstract

We present an Iterative Artificial Neural Network (IANN) in which computation is performed through a set of successive layers sharing the same weights. This network requires fewer weights while it can handle highdimensional inputs. IANN is applied, with good results, to a time series prediction and two classification problems.